metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: t5-small-finetuned-TEC-to-eng
results: []
t5-small-finetuned-TEC-to-eng
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1228
- Bleu: 59.1533
- Gen Len: 13.6042
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
---|---|---|---|---|---|
No log | 1.0 | 9 | 1.2883 | 27.8113 | 14.5417 |
No log | 2.0 | 18 | 1.2612 | 36.077 | 14.0833 |
No log | 3.0 | 27 | 1.2353 | 46.0316 | 14.0208 |
No log | 4.0 | 36 | 1.2140 | 46.7401 | 13.9583 |
No log | 5.0 | 45 | 1.1939 | 53.5996 | 13.6667 |
No log | 6.0 | 54 | 1.1780 | 57.126 | 13.6042 |
No log | 7.0 | 63 | 1.1663 | 57.2237 | 13.6042 |
No log | 8.0 | 72 | 1.1559 | 59.1533 | 13.6042 |
No log | 9.0 | 81 | 1.1477 | 59.1533 | 13.6042 |
No log | 10.0 | 90 | 1.1396 | 59.1533 | 13.6042 |
No log | 11.0 | 99 | 1.1317 | 59.1533 | 13.6042 |
1.1496 | 12.0 | 108 | 1.1277 | 59.1533 | 13.6042 |
1.1496 | 13.0 | 117 | 1.1250 | 59.1533 | 13.6042 |
1.1496 | 14.0 | 126 | 1.1233 | 59.1533 | 13.6042 |
1.1496 | 15.0 | 135 | 1.1228 | 59.1533 | 13.6042 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2